2021
Quality control requirements for the correct annotation of lipidomics data
Köfeler HC, Eichmann TO, Ahrends R, Bowden JA, Danne-Rasche N, Dennis EA, Fedorova M, Griffiths WJ, Han X, Hartler J, Holčapek M, Jirásko R, Koelmel JP, Ejsing CS, Liebisch G, Ni Z, O’Donnell V, Quehenberger O, Schwudke D, Shevchenko A, Wakelam MJO, Wenk MR, Wolrab D, Ekroos K. Quality control requirements for the correct annotation of lipidomics data. Nature Communications 2021, 12: 4771. PMID: 34362906, PMCID: PMC8346590, DOI: 10.1038/s41467-021-24984-y.Peer-Reviewed Original Research
2018
Multiomics approach reveals metabolic changes in the heart at birth
Walejko J, Koelmel J, Garrett T, Edison A, Keller-Wood M. Multiomics approach reveals metabolic changes in the heart at birth. AJP Endocrinology And Metabolism 2018, 315: e1212-e1223. PMID: 30300011, PMCID: PMC6336953, DOI: 10.1152/ajpendo.00297.2018.Peer-Reviewed Original ResearchConceptsEnrichment analysisOverrepresentation enrichment analysisNewborn heartFetal heartTranscriptomic approachTranscriptomic levelT-testMetabolic changesFatty acidsMetabolomic levelsGlycerophospholipid metabolic pathwayTranscriptomic findingsMultiomics approachPropanoate metabolismTreatment of neonatesOxidative phosphorylationDifferential expressionDay of birthSingle-sample geneMetabolic pathwaysGreater abundanceStudent's t-testHeart failureRight ventricleIntraventricular septumNIST lipidomics workflow questionnaire: an assessment of community-wide methodologies and perspectives
Bowden J, Ulmer C, Jones C, Koelmel J, Yost R. NIST lipidomics workflow questionnaire: an assessment of community-wide methodologies and perspectives. Metabolomics 2018, 14: 53. PMID: 30830346, PMCID: PMC11493135, DOI: 10.1007/s11306-018-1340-1.Peer-Reviewed Original ResearchMass Spectrometric Methodologies for Investigating the Metabolic Signatures of Parkinson’s Disease: Current Progress and Future Perspectives
Gill E, Koelmel J, Yost R, Okun M, Vedam-Mai V, Garrett T. Mass Spectrometric Methodologies for Investigating the Metabolic Signatures of Parkinson’s Disease: Current Progress and Future Perspectives. Analytical Chemistry 2018, 90: 2979-2986. PMID: 29384654, DOI: 10.1021/acs.analchem.7b04084.Peer-Reviewed Original ResearchConceptsParkinson's diseaseMetabolic signaturesContext of PDDegeneration of motorProdromal Parkinson's diseaseDisease-modifying therapiesBasal ganglia circuitryMotor deficitsDopaminergic neuronsDopamine metabolitesSubstantia nigraDisease progressionDefinitive biomarkersEarly diagnosisUseful biomarkerNeurodegenerative disordersDiseaseNonmotor componentsField of MSBiomarkersPreanalytical factorsMetabolomics studiesCellular pathwaysFuture perspectivesEarly stages
2017
A Robust Lipidomics Workflow for Mammalian Cells, Plasma, and Tissue Using Liquid-Chromatography High-Resolution Tandem Mass Spectrometry
Ulmer C, Patterson R, Koelmel J, Garrett T, Yost R. A Robust Lipidomics Workflow for Mammalian Cells, Plasma, and Tissue Using Liquid-Chromatography High-Resolution Tandem Mass Spectrometry. Methods In Molecular Biology 2017, 1609: 91-106. PMID: 28660577, PMCID: PMC6170197, DOI: 10.1007/978-1-4939-6996-8_10.Peer-Reviewed Original ResearchConceptsHigh-resolution mass spectrometryLipid coverageMass spectrometryResolution tandem mass spectrometryLiquid chromatographyTandem mass spectrometric approachMass spectrometric approachTandem mass spectrometryIdentification of lipidsHigh sample throughputLipidomics workflowsPerformance liquid chromatographyNatural productsSpectrometric approachFatty acid acyl chainsSample preparationStructural diversityDrug discoverySample throughputAcyl chainsSpectrometryLipidomicsSample typesUntargeted lipidomicsChromatography